eHealth patient-provider communication in the United States: interest, inequalities, and predictors

Overcoming obstacles to mammography screening: Examining the role of offline healthcare barriers and online patient-provider communication

Barriers to accessing offline healthcare may discourage patients from undergoing mammography screening. Online patient-provider communication (OPPC) offers a supplementary health resource that can complement traditional medical encounters and facilitate mammography screening. This study examines how offline healthcare barriers influence mammography screening, taking into account OPPC as an independent variable and cancer fatalism and patient activation as two mediators. Data from the 2017, 2018, and 2020 iterations of the Health Information National Trends Survey were used for this study. Results showed that OPPC was positively linked to mammography screening. Offline healthcare barriers had a negative association with patient activation and subsequent mammography behaviors. Moreover, offline healthcare barriers and OPPC were associated with mammography screening through serial mediation of cancer fatalism and patient activation. This study has important implications for encouraging mammography screening.

Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory

The NIH Pragmatic Trials Collaboratory supports the design and conduct of 27 embedded pragmatic clinical trials, and many of the studies collect patient reported outcome measures as primary or secondary outcomes. Study teams have encountered challenges in the collection of these measures, including challenges related to competing health care system priorities, clinician's buy-in for adoption of patient-reported outcome measures, low adoption and reach of technology in low resource settings, and lack of consensus and standardization of patient-reported outcome measure selection and administration in the electronic health record. In this article, we share case examples and lessons learned, and suggest that, when using patient-reported outcome measures for embedded pragmatic clinical trials, investigators must make important decisions about whether to use data collected from the participating health system's electronic health record, integrate externally collected patient-reported outcome data into the electronic health record, or collect these data in separate systems for their studies.

Use of implementation mapping in the planning of a hybrid type 1 pragmatic clinical trial: the BeatPain Utah study

BACKGROUND

Considerable disparities in chronic pain management have been identified. Persons in rural, lower income, and minoritized communities are less likely to receive evidence-based, nonpharmacologic care. Telehealth delivery of nonpharmacologic, evidence-based interventions for persons with chronic pain is a promising strategy to lessen disparities, but implementation comes with many challenges. The BeatPain Utah study is a hybrid type 1 effectiveness-implementation pragmatic clinical trial investigating telehealth strategies to provide nonpharmacologic care from physical therapists to persons with chronic back pain receiving care in ommunity health centers (CHCs). CHCs provide primary care to all persons regardless of ability to pay. This paper outlines the use of implementation mapping to develop a multifaceted implementation plan for the BeatPain study.

METHODS

During a planning year for the BeatPain trial, we developed a comprehensive logic model including the five-step implementation mapping process informed by additional frameworks and theories. The five iterative implementation mapping steps were addressed in the planning year: (1) conduct needs assessments for involved groups; (2) identify implementation outcomes, performance objectives, and determinants; (3) select implementation strategies; (4) produce implementation protocols and materials; and (5) evaluate implementation outcomes.

RESULTS

CHC leadership/providers, patients, and physical therapists were identified as involved groups. Barriers and assets were identified across groups which informed identification of performance objectives necessary to implement two key processes: (1) electronic referral of patients with back pain in CHC clinics to the BeatPain team and (2) connecting patients with physical therapists providing telehealth. Determinants of the performance objectives for each group informed our choice of implementation strategies which focused on training, education, clinician support, and tailoring physical therapy interventions for telehealth delivery and cultural competency. We selected implementation outcomes for the BeatPain trial to evaluate the success of our implementation strategies.

CONCLUSIONS

Implementation mapping provided a comprehensive and systematic approach to develop an implementation plan during the planning phase for our ongoing hybrid effectiveness-implementation trial. We will be able to evaluate the implementation strategies used in the BeatPain Utah study to inform future efforts to implement telehealth delivery of evidence-based pain care in CHCs and other settings.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04923334 . Registered June 11, 2021.

Telehealth uptake among middle-aged and older Americans during COVID-19: chronic conditions, social media communication, and race/ethnicity

OBJECTIVES

This study investigated whether and to what extent constructs of the protection motivation theory of health (PMT)-threat appraisal (perceived vulnerability/severity) and coping appraisal (response efficacy and self-efficacy)-are related to telehealth engagement during the COVID-19 pandemic, and how these associations differ by race/ethnicity among middle-aged and older Americans.

METHODS

Data were from the 2020 Health and Retirement Study. Multivariable ordinary least-squares regression analyses were computed adjusting for health and sociodemographic factors.

RESULTS

Some PMT constructs are useful in understanding telehealth uptake. Perceived vulnerability/severity, particularly comorbidity (b = 0.13, 95% confidence interval (CI) [0.11, 0.15], p < 0.001), and response efficacy, particularly participation in communication via social media (b = 0.24, 95% CI [0.21, 0.27], p < 0.001), were significantly and positively associated with higher telehealth uptake during the COVID-19 pandemic among middle-aged and older Americans. Non-Hispanic Black adults were more likely to engage in telehealth during the pandemic than their non-Hispanic White counterparts (b = 0.20, 95% CI [0.12, 0.28], p < 0.001). Multiple moderation analyses revealed the significant association between comorbidity and telehealth uptake was similar across racial/ethnic groups, whereas the significant association between social media communication and telehealth uptake varied by race/ethnicity. Specifically, the association was significantly less pronounced for Hispanic adults (b = -0.11, 95% CI [-0.19, -0.04], p < 0.01) and non-Hispanic Asian/other races adults (b = -0.13, 95% CI [-0.26, -0.01], p < 0.05) than it was for their non-Hispanic White counterparts.

CONCLUSION

Results suggest the potential of using social media and telehealth to narrow health disparities, particularly serving as a bridge for members of underserved communities to telehealth uptake.

Use of implementation mapping in the planning of a hybrid type 1 pragmatic clinical trial: the BeatPain Utah study

Background

Considerable disparities in chronic pain management have been identified. Persons in rural, lower income and minoritized communities are less likely to receive evidence-based, nonpharmacologic care. Telehealth delivery of nonpharmacologic, evidence-based interventions for persons with chronic pain is a promising strategy to lessen disparities, but implementation comes with many challenges. The BeatPain Utah study is a hybrid type I effectiveness-implementation pragmatic clinical trial investigating telehealth strategies to provide nonpharmacologic care from physical therapists to persons with chronic back pain receiving care in Community Health Centers (CHCs). CHCs provide primary care to all persons regardless of ability to pay. This paper outlines the use of implementation mapping to develop a multifaceted implementation plan for the BeatPain study.

Methods

During a planning year for the BeatPain trial we developed a comprehensive logic model including the 5-step implementation mapping process informed by additional frameworks and theories. The five iterative implementation mapping steps were addressed in the planning year; 1) conduct needs assessments for involved groups; 2) identify implementation outcomes, performance objectives and determinants; 3) select implementation strategies; 4) produce implementation protocols and materials; and 5) evaluate implementation outcomes.

Results

CHC leadership/providers, patients and physical therapists were identified as involved groups. Barriers and assets were identified across groups which informed identification of performance objectives necessary to implement two key processes; 1) electronic referral of patients with back pain in CHC clinics to the BeatPain team; and 2) connecting patients with physical therapists providing telehealth. Determinants of the performance objectives for each group informed our choice of implementation strategies which focused on training, education, clinician support and tailoring physical therapy interventions for telehealth delivery and cultural competency. We selected implementation outcomes for the BeatPain trial to evaluate the success of our implementation strategies.

Conclusions

Implementation mapping provided a comprehensive and systematic approach to develop an implementation plan during the planning phase for our ongoing hybrid effectiveness-implementation trial. We will be able to evaluate the implementation strategies used in the BeatPain Utah study to inform future efforts to implement telehealth delivery of evidence-based pain care in CHCs and other settings.

Trial registration

Clinicaltrials.gov Identifier: NCT04923334. Registered June 11, 2021 (https://clinicaltrials.gov/study/NCT04923334.

Factors Associated with Online Patient-Provider Communications Among Cancer Survivors in the United States during COVID: A Cross-Sectional Study

BACKGROUND

Online Patient-Provider Communication (OPPC) is crucial in enhancing access to health information, self-care, and related health outcomes among cancer survivors. The necessity of OPPC increased during SARS/COVID-19 (COVID), yet investigations in vulnerable subgroups have been limited.

OBJECTIVE

Thus, this study aimed to assess the prevalence of OPPC and sociodemographic and clinical characteristics associated with OPPC among cancer survivors and adults without a history of cancer during COVID vs. pre-COVID.

METHODS

Nationally representative cross-sectional survey data (Health Information National Trends Survey, HINTS 5 2017-2020) was used among cancer survivors (n= 1,900) and adults without a history of cancer (n= 13, 292). COVID included data from February to June 2020. We calculated the prevalence of three types of OPPC, defined as using email/internet, tablet/smartphone, or Electronic Health Records (EHR) for patient-provider communication, in the past 12 months. To investigate the associations of sociodemographic and clinical factors with OPPC, multivariable-adjusted weighted logistic regression was performed to obtain odds ratios (OR) and 95% confidence intervals (95% CI).

RESULTS

The average prevalence of OPPC increased from pre-COVID to COVID among cancer survivors (39.7% vs. 49.7%, email/internet; 32.2% vs. 37.9%, tablet/smartphone; 19.0% vs. 30.0%, EHR). Cancer survivors (OR=1.32, 95% CI 1.06-1.63) were slightly more likely to use email/internet communications than adults without a history of cancer prior to COVID. Among cancer survivors, email/internet (OR=1.61, 1.08-2.40) and EHR (OR=1.92, 1.22-3.02) were more likely to be used during COVID than pre-COVID. During COVID, subgroups of cancer survivors, including Hispanics (OR=0.26, 0.09-0.71 vs. non-Hispanic Whites), or those with the lowest income (OR=6.14, 1.99-18.92 $50,000 to <$75,000; OR=0.42, 1.56-11.28 ≥ $75,000 vs. <$20,000), with no usual source of care (OR=6.17, 2.12-17.99), or reporting depression (OR=0.33, 0.14-0.78) were less likely to use email/internet and those who were the oldest (OR=9.33, 2.18-40.01 age 35-49; OR=3.58, 1.20-10.70 age 50-64; OR=3.09, 1.09-8.76 age 65-74 vs. ≥75), unmarried (OR=2.26, 1.06-4.86) or had public/no health insurance (ORs=0.19-0.21 Medicare, Medicaid, or Other, vs. private) were less likely to use tablet/smartphone to communicate with providers. Cancer survivors with a usual source of care (OR=6.23, 1.66-23.39) or healthcare office visits within a year (ORs=7.55-8.25) were significantly more likely to use EHR to communicate. While not observed in cancer survivors, lower education level was associated with lower OPPC among adults without a history of cancer during COVID.

CONCLUSIONS

Our findings identified vulnerable subgroups of cancer survivors who were left behind in online patient-provider communications which are becoming an increasing part of healthcare. Those vulnerable subgroups of cancer survivors with lower OPPC should be helped through multidimensional interventions to prevent further inequities.

CLINICALTRIAL

Not applicable.

Latent class analysis of eHealth behaviors among adults with epilepsy

OBJECTIVE

The objective of this study was to determine the proportions of uptake and factors associated with electronic health (eHealth) behaviors among adults with epilepsy.

METHODS

The 2013, 2015, and 2017 National Health Interview Surveys were analyzed. We assessed the proportions of use of five domains of eHealth in those with epilepsy: looked up health information on the internet, filled a prescription on the internet, scheduled a medical appointment on the internet, communicated with a health care provider via email, and used chat groups to learn about health topics. Multivariate logistic regressions were conducted to identify factors associated with any eHealth behaviors among those with active epilepsy. Latent class analysis was performed to identify underlying patterns of eHealth activity. Survey participants were classified into three discrete classes: (1) frequent, (2) infrequent, and (3) nonusers of eHealth. Multinomial logistic regression was performed to identify factors associated with frequency of eHealth use.

RESULTS

There were 1770 adults with epilepsy, of whom 65.87% had at least one eHealth behavior in the prior year. By domain, 62.61% looked up health information on the internet, 15.81% filled a prescription on the internet, 14.95% scheduled a medical appointment on the internet, 17.20% communicated with a health care provider via email, and 8.27% used chat groups to learn about health topics. Among those with active epilepsy, female sex, more frequent computer usage, and internet usage were associated with any eHealth behavior. Female sex and frequent computer use were associated with frequent eHealth use as compared to nonusers.

SIGNIFICANCE

A majority of persons with epilepsy were found to use at least one form of eHealth. Various technological and demographic factors were associated with eHealth behaviors. Individuals with lower eHealth behaviors should be provided with targeted interventions that address barriers to the adoption of these technologies.

Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review

The objectives of this review were to map and summarize the existing evidence from a global perspective about inequity in access and delivery of virtual care interventions and to identify strategies that may be adopted by virtual care services to address these inequities. We searched MEDLINE, EMBASE, and CINAHL using both medical subject headings (MeSH) and free-text keywords for empirical studies exploring inequity in ambulatory services offered virtually. Forty-one studies were included, most of them cross-sectional in design. Included studies were extracted using a customized extraction tool, and descriptive analysis was performed. The review identified widespread differences in accessing and using virtual care interventions among cultural and ethnic minorities, older people, socioeconomically disadvantaged groups, people with limited digital and/or health literacy, and those with limited access to digital devices and good connectivity. Potential solutions addressing these barriers identified in the review included having digitally literate caregivers present during virtual care appointments, conducting virtual care appointments in culturally sensitive manner, and having a focus on enhancing patients’ digital literacy. We identified evidence-based practices for virtual care interventions to ensure equity in access and delivery for their virtual care patients.

Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis

Background

Mobile health (mHealth) tools have emerged as a promising health care technology that may contribute to cost savings, better access to care, and enhanced clinical outcomes; however, it is important to ensure their acceptance and adoption to harness this potential. Patient adoption has been recognized as a key challenge that requires further exploration.

Objective

The aim of this review was to systematically investigate the literature to understand the factors affecting patients’ adoption of mHealth tools by considering sociotechnical factors (from technical, social, and health perspectives).

Methods

A structured search was completed following the participants, intervention, comparators, and outcomes framework. We searched the MEDLINE, PubMed, Cochrane Library, and SAGE databases for studies published between January 2011 and July 2021 in the English language, yielding 5873 results, of which 147 studies met the inclusion criteria. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and the Cochrane Handbook were followed to ensure a systematic process. Extracted data were analyzed using NVivo (QSR International), with thematic analysis and narrative synthesis of emergent themes.

Results

The technical factors affecting patients’ adoption of mHealth tools were categorized into six key themes, which in turn were divided into 20 subthemes: usefulness, ease of use, data-related, monetary factors, technical issues, and user experience. Health-related factors were categorized into six key themes: the disease or health condition, the care team’s role, health consciousness and literacy, health behavior, relation to other therapies, integration into patient journey, and the patients’ insurance status. Social and personal factors were divided into three key clusters: demographic factors, personal characteristics, and social and cultural aspects; these were divided into 19 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

Conclusions

This review builds on the growing body of research that investigates patients’ adoption of mHealth services and highlights the complexity of the factors affecting adoption, including personal, social, technical, organizational, and health care aspects. We recommend a more patient-centered approach by ensuring the tools’ fit into the overall patient journey and treatment plan, emphasizing inclusive design, and warranting comprehensive patient education and support. Moreover, empowering and mobilizing clinicians and care teams, addressing ethical data management issues, and focusing on health care policies may facilitate adoption.

Factors Associated With Willingness to Share Health Information: Rapid Review

Background

To expand research and strategies to prevent disease, comprehensive and real-time data are essential. Health data are increasingly available from platforms such as pharmaceuticals, genomics, health care imaging, medical procedures, wearable devices, and internet activity. Further, health data are integrated with an individual’s sociodemographic information, medical conditions, genetics, treatments, and health care. Ultimately, health information generation and flow are controlled by the patient or participant; however, there is a lack of understanding about the factors that influence willingness to share health information. A synthesis of the current literature on the multifactorial nature of health information sharing preferences is required to understand health information exchange.

Objective

The objectives of this review are to identify peer-reviewed literature that reported factors associated with health information sharing and to organize factors into cohesive themes and present a narrative synthesis of factors related to willingness to share health information.

Methods

This review uses a rapid review methodology to gather literature regarding willingness to share health information within the context of eHealth, which includes electronic health records, personal health records, mobile health information, general health information, or information on social determinants of health. MEDLINE and Google Scholar were searched using keywords such as electronic health records AND data sharing OR sharing preference OR willingness to share. The search was limited to any population that excluded health care workers or practitioners, and the participants aged ≥18 years within the US or Canadian context. The data abstraction process using thematic analysis where any factors associated with sharing health information were highlighted and coded inductively within each article. On the basis of shared meaning, the coded factors were collated into major themes.

Results

A total of 26 research articles met our inclusion criteria and were included in the qualitative analysis. The inductive thematic coding process revealed multiple major themes related to sharing health information.

Conclusions

This review emphasized the importance of data generators’ viewpoints and the complex systems of factors that shape their decision to share health information. The themes explored in this study emphasize the importance of trust at multiple levels to develop effective information exchange partnerships. In the case of improving precision health care, addressing the factors presented here that influence willingness to share information can improve sharing capacity for individuals and allow researchers to reorient their methods to address hesitation in sharing health information.

Prevalence, Factors, and Association of Electronic Communication Use With Patient-Perceived Quality of Care From the 2019 Health Information National Trends Survey 5-Cycle 3: Exploratory Study

BACKGROUND

Electronic communication (e-communication), referring to communication through electronic platforms such as the web, patient portal, or mobile phone, has become increasingly important, as it extends traditional in-person communication with fewer limitations of timing and locations. However, little is known about the current status of patients' use of e-communication with clinicians and whether the use is related to the better patient-perceived quality of care at the population level.

OBJECTIVE

The aim of this study was to explore the prevalence of and the factors associated with e-communication use and the association of e-communication use with patient-perceived quality of care by using the nationally representative sample of the 2019 Health Information National Trends Survey 5 (HINTS 5)-Cycle 3.

METHODS

Data from 5438 adult responders (mean age 49.04 years, range 18-98 years) were included in this analysis. Multiple logistic and linear regressions were conducted to explore responders' personal characteristics related to their use of e-communication with clinicians in the past 12 months and how their use was related to perceived quality of care. Descriptive analyses for e-communication use according to age groups were also performed. All analyses considered the complex survey design using the jackknife replication method.

RESULTS

The overall prevalence of e-communication use was 60.3%, with a significantly lower prevalence in older adults (16.6%) than that in <45-year-old adults (41%) and 45-65-year-old adults (42.4%). All percentages are weighted; therefore, absolute values are not shown. American adults who used e-communication were more likely to be high school graduates (odds ratio [OR] 1.95, 95% CI 1.14-3.34; P=.02), some college degree holders (OR 3.34, 95% CI 1.84-6.05; P<.001), and college graduates or more (OR 4.89, 95% CI 2.67-8.95; P<.001). Further, people who were females (OR 1.47, 95% CI 1.18-1.82; P=.001), with a household income ≥US $50,000 (OR 1.63, 95% CI 1.23-2.16; P=.001), with more comorbidities (OR 1.22, 95% CI 1.07-1.40; P=.004), or having a regular health care provider (OR 2.62, 95% CI 1.98-3.47; P<.001), were more likely to use e-communication. In contrast, those who resided in rural areas (OR 0.61, 95% CI 0.43-0.88; P=.009) were less likely to use e-communication. After controlling for the sociodemographics, the number of comorbidities, and relationship factors (ie, having a regular provider and trusting a doctor), e-communication use was found to be significantly associated with better perceived quality of care (β=.12, 95% CI 0.02-0.22; P=.02).

CONCLUSIONS

This study confirmed the positive association between e-communication use and patient-perceived quality of care and suggested that policy-level attention should be raised to engage the socially disadvantaged (ie, those with lower levels of education and income, without a regular health care provider, and living in rural areas) to maximize e-communication use and to support better patient-perceived quality of care among American adults.

Too old for technology? Use of wearable healthcare devices by older adults and their willingness to share health data with providers

Wearable healthcare devices offer tremendous promise to effectively track and improve the well-being of older adults. Yet, little is known about the use of wearable devices by older adults. Drawing upon a national survey in US with 1481 older adults, we examine the use of wearable healthcare devices and the key predictors of use viz. sociodemographic factors, health conditions, and technology self-efficacy. We also examine if the predictors are associated with elders' willingness to share health data from wearable devices with healthcare providers. We find low level of wearable use (17.49%) among US older adults. We find significant positive associations between technology self-efficacy, health conditions, and demographic factors (gender, race, education, and annual household income) and use of wearable devices. Men were less likely (OR = 0.62, 95% CI 0.36-1.04) and Asians were more likely (OR = 2.60, 95% CI 0.89-7.64) to use wearables, as did healthy adults (OR = 1.98, 95% CI 1.37-2.87). Those who electronically communicated with their doctors (OR = 1.86, 95% CI 1.16-2.97), and those who searched online for health information (OR = 1.79, 95% CI 1.03-3.10) were more likely to use wearables. Though 80.15% of wearable users are willing to share health data with providers, those with greater technology self-efficacy and favorable attitudes toward exercise are more willing.

Use of Online Medical Records to Support Medical Decision Making: A Cross-Sectional Study of US Adults

The use of online medical records has increased over time and may enhance patient involvement in medical decisions. We explored sociodemographic, medical condition, and digital health correlates of using online medical records to support medical decision making. Cross-sectional data from the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3, N = 5438) were analyzed. Final analyses included participants who accessed their online medical records within 12 months and had complete data for all variables (n = 1807). The outcome was, "In the past 12 months have you used your online medical record to help you make a decision about how to treat an illness or condition (yes/no)?" Univariate and multivariate odds ratios and 95% confidence intervals were calculated. Multivariately, the odds of using online medical records to support medical decision making were significantly higher for individuals who (a) used online medical records to securely send messages to health care providers, (b) used a smartphone health app to access their online medical records, (c) had online medical records that contained clinical notes, (d) reported that online medical records were useful for monitoring health, and (e) self-identified as African American, Asian, or "Other." Online medical records may support medical decision making depending on the context.

Pattern of Use of Electronic Health Record (EHR) among the Chronically Ill: A Health Information National Trend Survey (HINTS) Analysis

Effective patient–provider communication is a cornerstone of patient-centered care. Patient portals provide an effective method for secure communication between patients or their proxies and their health care providers. With greater acceptability of patient portals in private practices, patients have a unique opportunity to manage their health care needs. However, studies have shown that less than 50% of patients reported accessing the electronic health record (EHR) in a 12-month period. We used HINTS 5 cycle 1 and cycle 2 to assess disparities among US residents 18 and older with any chronic condition regarding the use of EHR for secure direct messaging with providers, to request refills, to make clinical decisions, or to share medical records with another provider. The results indicate that respondents with multimorbidity are more likely to share their medical records with other providers. However, respondents who are 75 and older are less likely to share their medical records with another provider. Additionally, respondents who are 65 and older are less likely to use the EHR for secure direct messaging with their provider. Additional health care strategies and provider communication should be developed to encourage older patients with chronic conditions to leverage the use of patient portals for effective disease management.

Factors Associated with Patient Willingness to Conduct a Remote Video Musculoskeletal Consultation

BACKGROUND

Remote video consultations on musculoskeletal illness are relatively convenient and accessible, and use fewer resources. However, there are concerns about technological and privacy issues, the possibility of missing something important, and equal access to all patients. We measured patient characteristics associated with willingness to conduct a remote video musculoskeletal upper extremity consultation.

METHODS

One hundred and five patients seeking specialty musculoskeletal care completed questionnaires addressing (1) demographics, (2) access to a device, internet, and space to conduct a remote video consultation, (3) health literacy, (4) pain intensity, (5) magnitude of limitations of the upper extremity, (6) self-efficacy, and (7) rated willingness to conduct a remote video musculoskeletal consultation (11-point ordinal scale). A multivariable linear regression analysis sought factors independently associated with patient willingness to conduct remote video musculoskeletal upper extremity consultations.

RESULTS

Patient education level (4 years of college) and accessibility to a space suitable for remote video consultations were independently associated with interest in remote video consultations. Sociodemographic factors, health literacy, accessibility to a device or internet, and amount of perceived pain and disability were not.

CONCLUSION

We speculate that education level and suitable space might be surrogates for trust and privacy concerns. Future research might measure the ability of interventions to gain trust and ensure privacy to increase willingness to engage in remote video musculoskeletal consultations.

The Influence of Patient-Provider Communication on Cancer Screening

Few studies have examined how different qualities and modes (face-to-face vs electronic) of patient–provider communication (PPC) influence cancer screening uptake. Our objective was to determine whether receiving a breast, cervical, and colorectal cancer screening is influenced by (1) qualities of face-to-face and (2) the use of e-mail PPC. We analyzed Health Information National Trends Survey 4, cycles 1 to 4 data. To assess qualities of face-to-face PPC, adults reported how often physicians spent enough time with them, explained so they understood, gave them a chance to ask questions, addressed feelings and emotions, involved them in decisions, confirmed understanding, and helped them with uncertainty. Adults reported whether they used e-mail PPC. We used multivariable logistic regression to evaluate the odds of receiving cancer screenings based on face-to-face and e-mail PPC. Adults whose health-care providers involved them in decision-making had highest odds of receiving breast (odds ratio [OR] = 1.38; 95% confidence interval [CI] = 1.11-1.71), cervical (OR = 1.30; 95% CI = 1.06-1.60), and colorectal (OR = 1.25; 95% CI = 1.03-1.51) cancer screenings. No significant associations were observed between e-mail PPC and cancer screenings. More research is needed to explore this association.

Focal fields in literature on the information divide

Purpose

The purpose of this paper is to identify key countries and their focal research fields on the information divide.

Design/methodology/approach

Literature was retrieved to identify key countries and their primary focus. The literature research method was adopted to identify aspects of the primary focus in each key country.

Findings

The key countries with literature on the information divide are the USA, China, the UK and India. The problem of health is prominent in the USA, and solutions include providing information, distinguishing users’ profiles and improving eHealth literacy. Economic and political factors led to the urban–rural information divide in China, and policy is the most powerful solution. Under the influence of humanism, research on the information divide in the UK focuses on all age groups, and solutions differ according to age. Deep-rooted patriarchal concepts and traditional marriage customs make the gender information divide prominent in India, and increasing women’s information consciousness is a feasible way to reduce this divide.

Originality/value

This paper is an extensive review study on the information divide, which clarifies the key countries and their focal fields in research on this topic. More important, the paper innovatively analyzes and summarizes existing literature from a country perspective.

Exploring Early Adopter Baby Boomers' Approach to Managing Their Health and Healthcare

The Patient 3.0 Profile is used to explore to the patient engagement strategies of early adopter baby boomers' in three domains: 1) patient relationships, 2) health information use and 3) consumer health technology (CHT) use. Findings from six focus groups with early adopter boomers challenge prior notions about older adults' passive approach to patient engagement. Baby boomers want to make final healthcare decisions with input from providers. While adept at finding and critically assessing online health information for self-education and self-management, boomers want providers to curate relevant and trustworthy information. Boomers embrace CHTs offered through providers (i.e., patient portals, email and text messaging) and sponsored by wellness programs (i.e., diet and activity devices and apps). However, there is no indication they add information to their online medical records or use CHT for diagnosis, treatment or disease management. Additional resources are needed to encourage widespread adoption, support patient effectiveness, and confirm cost-benefit.

Patient Centered Communication and E-Health Information Exchange Patterns: Findings From a National Cross-Sectional Survey

This paper aimed to determine whether there was a connection between patient’s perception of communication with their doctors in the visit and their use of online health information exchange using a nationally representative survey. We used the data from the Health Information National Trends survey pooled HINTS4 Cycle 4 data and assessed outcomes using logistic regression modeling composite communication scores as a continuous variable. We weighted participants to create population-level estimates. We adjusted for age, gender, race, and census region. The 3677 patients were included in the analysis who had an outpatient visit within the previous 12 months. In unadjusted analysis and analysis adjusted for demographic factors, patients who experienced higher communication scores were more likely to use online health information exchange with their providers. In unadjusted analysis, patients had 0.04 higher odds of interest in receiving appointment reminders from health care providers electronically (OR = 1.04 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p=0.01$ \end{document}) and 0.03 higher odds of interest in receiving general health tips (OR = 1.03 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p=0.04$ \end{document}) for every score increase in the communication summary score. In adjusted model, for each score increment in the communication score, patients were 7% more inclined to receive appointment reminders (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p< 0.05$ \end{document}), 4% more inclined to receive general health tips (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p=0.02$ \end{document}), and 4% more likely to exchange information about lifestyle behaviors (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$p=0.02$ \end{document}). Findings suggest that the quality of the communication in the visit might increase use of informatics tool to exchange health information.

Immigrants' Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015

OBJECTIVES

Little is known about the use of electronic health (eHealth) services supported by information technology in the United States among immigrants, a group that faces barriers in accessing care and, consequently, disparities in health outcomes. We examined differences in the use of eHealth services in the United States by immigration status in a nationally representative sample.

METHODS

We used data from the 2011-2015 National Health Interview Survey to assess use of eHealth services among US natives, naturalized citizens, and noncitizens. Our outcome variable of interest was respondent-reported use of eHealth services, defined as making medical appointments online, refilling prescriptions online, or communicating with health care professionals through email, during the past 12 months. We analyzed use of eHealth services, demographic characteristics, socioeconomic status, and health status among all 3 groups. We used multivariate logistic regression models to examine the association between immigration status and the likelihood of using eHealth services, adjusting for individual demographic, socioeconomic, and health characteristics.

RESULTS

Among 126 893 US natives, 18 763 (16.1%) reported using any eHealth services in the past 12 months, compared with 1738 of 15 102 (13.0%) naturalized citizens and 1020 of 14 340 (7.8%) noncitizens. Adjusting for socioeconomic factors reduced initial gaps: naturalized citizens (adjusted odds ratio [aOR] = 0.81; 95% confidence interval [CI], 0.75-0.87) and noncitizens (aOR = 0.81; 95% CI, 0.72-0.90) had approximately 20% lower odds of using eHealth services than did US natives. However, the differences varied by type of eHealth service. Immigrants with higher English-language proficiency were more likely to use eHealth services than were immigrants with lower English-language proficiency.

CONCLUSIONS

Targeted interventions that reduce socioeconomic barriers in accessing technology and promote multilingual electronic portals could help mitigate disparities in use of eHealth services.

Support needs for medication use and the suitability of eHealth technologies to address these needs: a focus group study of older patients with rheumatoid arthritis

OBJECTIVE

The objectives of this study were to explore the needs of patients with rheumatoid arthritis (RA) regarding support for medication use and to gain insight into their perspective on the suitability of eHealth technologies to address these needs.

METHODS

Three focus groups were conducted with 28 patients with RA. Audio recordings made during the focus groups were transcribed verbatim. Two researchers independently performed an inductive, thematic analysis on the data (ie, the transcripts and field notes).

RESULTS

The following three themes that described support needs of patients with RA for medication use were identified in the data: 1) informational support; 2) practical support; and 3) emotional support. Informational support reflected the provision of information and facts, including advice, suggestions, and feedback from health care providers. Practical support included the reinforcement of practical skills as well as the provision of medication aids and pharmacy services. Emotional support reflected a trusted patient-health care provider relationship, characterized by good communication. Although potential advantages of eHealth technologies to address the patients' support needs were recognized, concerns over matters such as personal interaction with health care providers, privacy and data security, and the quality and reliability of online information were prevalent.

CONCLUSION

Patients with RA have informational, practical, and emotional support needs for medication use. Informational support seems to be most important. From the patients' perspective, eHealth technologies may have the potential to address these needs. However, these technologies are regarded as a complement to, rather than a replacement of, current practices.

Chronic Conditions May Be More Important Than Race or Ethnicity in Relation to Health Information Seeking and Use

OBJECTIVE

This research examines health information (HI) seeking and use among middle-aged and older adults with chronic health conditions.

METHOD

We used logistic regression models to analyze HI seeking ( N = 7,822) and use (N = 4,541-4,547) among participants (aged 45+ years) with chronic conditions from the nationally-representative Health Tracking Household Survey.

RESULTS

Adults aged 45+ years with chronic conditions were significantly more likely to seek and use HI; however, these results varied based on the age and education. Compared with Whites, Latinos were less likely to seek HI but more likely to use HI to treat illness, and African Americans were more likely to use HI to maintain health.

CONCLUSION

Middle-aged and older adults with chronic conditions are prominent HI seekers and users. Proficient HI seeking and use may have the potential to enhance control over one's own health, maintain independence in the community, and reduce the impact of negative health consequences on the health care system.